Nielsen

New York

10,000+ employees

Nielsen uncovers what audiences want, so you can make media that counts.

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Data Scientist

Nielsen

Data Scientist

Data Science

This job is no longer open

Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.

Data Scientist (Remote)

Reports to: Manager

Business unit: Data Science

Location: Remote

The Nielsen Company is the largest global measurement company in the world with unique measurement technologies, assets, and data that make it one of the most interesting and challenging places for a data scientist to work. We focus on what consumers watch, listen to, and buy in over 95 countries worldwide. Data Science is core to what Nielsen does, and our research projects have high visibility in directly impacting the results of our business and our clients. This Data Scientist role in the Digital Product team provides an opportunity to contribute to methodological innovation in the exciting and fast-changing world of digital media measurement. This is an ideal position to grow as a researcher and engineer, contribute to innovative methodologies capable of scaling across Nielsen’s data assets, and develop subject-matter expertise in digital methodology and cross-platform audience measurement.

Currently, we are seeking a Data Scientist to join one of our cutting edge research teams in the Digital and Advanced TV space. In the quickly evolving privacy landscape of digital data, we have an exciting opportunity working with some of the most influential companies in technology to improve existing methodologies and research and develop entirely new solutions to the problem of audience measurement.

Job Responsibilities

This is a challenging and exciting role that offers exposure to a wide assortment of Nielsen data assets. In this role, you will work directly with cross-functional internal teams to optimize data systems and build them from the ground up. The right candidate will be excited by the prospect of combining Nielsen’s proprietary data assets with their statistical modeling and software development skills to enable the world’s biggest brands to make better and faster decisions. Your responsibilities will include

Work alongside scientists and engineers as the subject matter expert for building machine learning pipelines in our cloud environment.
Driving technical solutions to complex business problems, from lightweight automation to designing and building robust machine learning solutions.
Develop, implement and maintain good programming standards and practices across our analytics codebase.
Independently writing custom Python and SQL code.
Providing research support that leads to the enhancement of existing methodologies or the creation of new methodologies.
Collaborating with Application Development and Technology teams to integrate and test new modules in production pipelines

Requirements

E- Experience in pipeline management (building/debugging/optimizing), software development, and data analysis
E- High fluency in Python and SQLE-
Experience with machine learning techniques and data pipeline/workflow management tools: Airflow, Luigi, etc.
E- Ability to communicate complex results and findings in a clear and concise manner to a wide range of business audiences, both technical and non-technical.
E - Bachelor’s degree in Computer Science, Engineering, Statistics, Economics, Data Science, or other fields with a strong quantitative programming and analytical background

Scope

Budget Responsibility: None
Key interface relationships (internal and external): Internal Technical Teams
Number of employees managed: 0
Number of employees indirectly managed: 0
Number of third party employees (contractors/outsourced) managed: 0
The role is global/regional/ local: Regional/Local
Breadth of functions under management: Other factors indicating size/complexity of role: Must be able to translate business needs into technical solutions

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This job is no longer open